• Title/Summary/Keyword: online public opinion

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Microblogging Sentiment Investor, Return and Volatility in the COVID-19 Era: Indonesian Stock Exchange

  • FARISKA, Putri;NUGRAHA, Nugraha;PUTERA, Ika;ROHANDI, Mochamad Malik Akbar;FARISKA, Putri
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.61-67
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    • 2021
  • The covid-19 pandemic scenario caused the most extensive economic shocks the world has experienced in decades. Maintaining financial performance and economic stability is essential during the pandemic period. In these conditions, where movement is severely restricted, media consumption is considered to be increasing. The social media platform is one of the media online used by the public as a source of information and also expressing their sentiment, including individual investors in the capital market as social media users. Twitter is one of the social media microblogging platforms used by individual investors to share their opinion and get information. This study aims to determine whether microblogging sentiment investors can predict the capital market during pandemics. To analyze microblogging sentiment investors, we classified sentiment using the phyton text mining algorithm and Naïve Bayesian text classification into level positive, negative, and neutral from November 2019 to November 2020. This study was on 68 listed companies on the Indonesia stock exchange. A Vector Autoregression and Impulse Response is applied to capture short and long-term impacts along with a causal relationship. We found that microblogging sentiment investor has a significant impact on stock returns and volatility and vice-versa. Also, the response due to shocks is convergent, and microblogging investors in Indonesia are categorized as a "news-watcher" investor.

Moderating Effects of Online Platform Business Ecosystems between Customer Participation and Psychological Ownership: A Comparison of Kakao and Facebook Ecosystems (고객참여와 심리적 주인의식의 관계에서 온라인 플랫폼 비즈니스 생태계 유형의 조절효과: 카카오와 페이스북 생태계의 비교)

  • Joo, Jaehun;Shin, M. Minsuk
    • The Journal of Information Systems
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    • v.25 no.1
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    • pp.75-104
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    • 2016
  • Purpose The business ecosystem perspective offers a new lens in which to view customers. Customers as the member of business ecosystems influence firms by participating in both the firm level activities and the business ecosystem level activities. For example, customers participate in the business ecosystems by forming interest groups, allowing their voice to be heard the within business ecosystems. Customers can also, turn public opinion around and foster the business ecosystems favorable to firms. On the other hand, as an extreme case of customer participation, customers can engage in community activities to boycott the purchase of products or services from certain firms or business ecosystems. Design/methodology/approach This study views content creation and feedback activities as customer participation in the firm level. On the other hand, word-of-mouth (WOM) and boycott activities are considered as customer participation in the business ecosystem level. This study presents a research model regarding the relationships among customer socialization, customer participation, and psychological ownership. The proposed model is validated through an empirical analysis on online platform business ecosystems. Findings When the two business ecosystems are compared, different results were drawn. In the Facebook ecosystem, boycott and psychological ownership did not have a significant relationship. However, in the Kakao ecosystem, the two had a significant positive relationship. The mediating effect of the business ecosystem type sheds a light on the mission, purpose, vision, and other values associated with the theory of the business on the customer-firm relationship. Further implications for theory and practice were discussed in this study.

Examining the Disparity between Court's Assessment of Cognitive Impairment and Online Public Perception through Natural Language Processing (NLP): An Empirical Investigation (Natural Language Processing(NLP)를 활용한 법원의 판결과 온라인상 대중 인식간 괴리에 관한 실증 연구)

  • Seungkook Roh
    • The Journal of Bigdata
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    • v.8 no.1
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    • pp.11-22
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    • 2023
  • This research aimed to examine the public's perception of the "rate of sentence reduction for reasons of mental and physical weakness" and investigate if it aligns with the actual practice. Various sources, such as the Supreme Court's Courtnet search system, the number of mental evaluation requests, and the number of articles and comments related to "mental weakness" on Naver News were utilized for the analysis. The findings indicate that the public has a negative opinion on reducing sentences due to mental and physical weakness, and they are dissatisfied with the vagueness of the standards. However, this study also confirms that the court strictly applies the reduction of responsibility for individuals with mental disabilities specified in Article 10 of the Criminal Act based on the analysis of actual judgments and the number of requests for psychiatric evaluation. In other words, even though the recognition of perpetrators' mental disorders is declining, the public does not seem to recognize this trend. This creates a negative impact on the public's trust in state institutions. Therefore, law enforcement agencies, such as the police and prosecutors, need to enforce the law according to clear standards to gain public trust. The judiciary also needs to make a firm decision on commuting sentences for mentally and physically infirm individuals and inform the public of the outcomes of its application.

Social Issue Risk Type Classification based on Social Bigdata (소셜 빅데이터 기반 사회적 이슈 리스크 유형 분류)

  • Oh, Hyo-Jung;An, Seung-Kwon;Kim, Yong
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.1-9
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    • 2016
  • In accordance with the increased political and social utilization of social media, demands on online trend analysis and monitoring technologies based on social bigdata are also increasing rapidly. In this paper, we define 'risk' as issues which have probability of turn to negative public opinion among big social issues and classify their types in details. To define risk types, we conduct a complete survey on news documents and analyzed characteristics according to issue domains. We also investigate cross-medias analysis to find out how different public media and personalized social media. At the result, we define 58 risk types for 6 domains and developed automatic classification model based on machine learning algorithm. Based on empirical experiments, we prove the possibility of automatic detection for social issue risk in social media.

Big Data Analysis on Daegu-Gyeongbuk Administrative Integration (대구·경북 행정통합에 대한 빅데이터 분석)

  • Song, Hwa Young;Park, Han Woo
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.139-148
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    • 2021
  • The study examines public attitude and reaction regarding administrative integration in Daegu and Gyeongbuk area. Specifically, it employs social big data including textual comments on online news articles and YouTube video clips. The collected data are analyzed in order to compare two periods, that is, before and after the inauguration of the Public Opinion Committee for One Daegu-Gyeongbuk. As a result, we have found that people's favorable response to administrative integration has gradually increased since the launch of the Committee. However, it still lacks specific administrative procedures and discussion topics among the frequently used words in the collected data. Thus, the Committee needs to provide a variety of information and materials related to administrative integration.

A Comparative Study on Online Civic Journalism Practice and Civic Influence in the U.S. and Korea - Focus on News about the 'Oil Price' (온라인 시민저널리즘 양상과 시민 영향력에 관한 한.미 간 비교 연구 - '유가' 관련 보도를 중심으로)

  • Yang, Min-Je;Kim, Min-Ha
    • Korean journal of communication and information
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    • v.45
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    • pp.463-495
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    • 2009
  • Korea has started to pay attention to civic journalism in recent years while it initially emerged in the United State since late 1980s. Furthermore, albeit some discernable limitations, the Internet has played an important role in fertilizing civic journalism as indicated by the emergence of online news media and the increasing number of civic journalists engaged in the online activities. Whereas there are some patterns of civic journalism practice and the civic influence commonly observed in both countries, there are significant factors that distinguish th1e case of Korea from that of the U.S. The purpose of this study is to compare the two countries in terms of the patterns of civic journalism practice and civic influence. This goal has been achieved by analyzing ‘CNN iReport’ in the U.S. and ‘Ohmynews’ in Korea, both of which are prime civic journalism websites. Those websites have been compared in light of four standards of civic journalism: first, the degree of post-objectivism; second, the search for effective resolutions of social problems; third, civic engagement in the news making process to enhance bottom-up agenda setting; and finally, citizens’ interaction with the news. The results reveal that the American civic journalism website is more likely to shed light on deviating from the principle of objectivity and seeking alternatives and resolutions of social problems. Moreover, it effectively utilizes civic engagement in the news Abstracts 551 making process as indicated by the higher numbers of civic journalists and civic news resources. Also, readers’ interaction with the news was found to be more active in the iReport website than in the Ohmynews.

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The Impact of Changes in Social Information Processing Mechanism on Social Consensus Making in the Information Society (정보화사회에 있어서 사회적 정보처리 메커니즘의 변화가 사회적 컨센서스 형성에 미치는 영향에 대한 연구)

  • Jin, Seung-Hye;Kim, Yong-Jin
    • Information Systems Review
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    • v.13 no.3
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    • pp.141-163
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    • 2011
  • The advancement of information technologies including the Internet has affected the way of social information processing as well as brought about the paradigm shift to the information society. Accordingly, it is very important to study the process of social information processing over the digital media through which social information is generated, distributed, and led to social consensus. In this study, we analyze the mechanism of social information processing, identify a process model of social consensus and institutionalization of the results, and finally propose a set of information processing characteristics on the internet media. We deploy the ethnographic approach to analyze the meaning of group behavior in the context of society to analyze two major events which happened in Korean society. The formation process of social consensus is found to consist of 5 steps: suggestion of social issues, selective reflection on public opinion, acceptance of the issues and diffusion, social consensus, and institutionalization and feedback. The key characteristics of information processing in the Internet is grouped into proactive response to an event, the changes in the role of opinion leader, the flexibility of proposal and analysis, greater scalability, relevance to consensus making, institutionalization and interaction. This study contributes to the literature by proposing a process model of social information processing which can be used as the basis for analyzing the social consensus making process from the social network perspective. In addition, this study suggests a new perspective where the utility of the Internet media can be understood from the social information processing so that other disciplines including politics, communications, and management can improve the decision making performance in utilizing the Internet media.

The Overview of the Public Opinion Survey and Emerging Ethical Challenges in the Healthcare Big Data Research (보건의료빅데이터 연구에 대한 대중의 인식도 조사 및 윤리적 고찰)

  • Cho, Su Jin;Choe, Byung In
    • The Journal of KAIRB
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    • v.4 no.1
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    • pp.16-22
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    • 2022
  • Purpose: The traditional ethical study only suggests a blurred insight on the research using medical big data, especially in this rapid-changing and demanding environment which is called "4th Industry Revolution." Current institutional/ethical issues in big data research need to approach with the thoughtful insight of past ethical study reflecting the understanding of present conditions of this study. This study aims to examine the ethical issues that are emerging in recent health care big data research. So, this study aims to survey the public perceptions on of health care big data as part of the process of public discourse and the acceptance of the utility and provision of big data research as a subject of health care information. In addition, the emerging ethical challenges and how to comply with ethical principles in accordance with principles of the Belmont report will be discussed. Methods: Survey was conducted from June 3th August to 6th September 2020. The online survey was conducted through voluntary participation through Internet users. A total of 319 people who completed the survey (±5.49%P [95% confidence level] were analyzed. Results: In the area of the public's perspective, the survey showed that the medical information is useful for new medical development, but it is also necessary to obtain consents from subjects in order to use that medical information for various research purposes. In addition, many people were more concerned about the possibility of re-identifying personal information in medical big data. Therefore, they mentioned the necessity of transparency and privacy protection in the use of medical information. Conclusion: Big data on medical care is a core resource for the development of medicine directly related to human life, and it is necessary to open up medical data in order to realize the public good. But the ethical principles should not be overlooked. The right to self-determination must be guaranteed by means of clear, diverse consent or withdrawal of subjects, and processed in a lawful, fair and transparent manner in the processing of personal information. In addition, scientific and ethical validity of medical big data research is indispensable. Such ethical healthcare data is the only key that will lead to innovation in the future.

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News Content Consumption Analysis of News Consumers in the Era of New Media (뉴미디어 시대 뉴스 소비자들의 뉴스 콘텐츠 소비실태 분석)

  • Choi, Jinbong;Lee, Misun
    • The Journal of the Korea Contents Association
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    • v.17 no.2
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    • pp.207-218
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    • 2017
  • The purpose of this study is to analyze news content consumption of news consumers in which a few media conglomerates control news consumption market caused by deregulation of media policy and development of Internet communication technology. In doing so, this study analyzes the consumption realities of news consumers in the new news consumption market generated by new media and mobile communication technologies, and the effects how the new news consumption market influences on news consumption pattern of audiences. After surveyed 229 news consumers, this study founded that news consumers use NAVER(news portal site) mainly while consuming news contents, specifically younger generation tends to use NAVER heavily. Furthermore, it is founded that news consumers chose news outlets for consuming news contents not by the quality of news contents and the function of the news outlets but by their own convenience.

The Defense Strategies against Consumer Unethical Behaviors (소비자의 비윤리적 행동에 대한 방어전략)

  • Lee, Un-Kon;Park, Jong Pil;Choi, Young Eun;Oh, Yonghui
    • The Journal of Society for e-Business Studies
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    • v.17 no.4
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    • pp.17-37
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    • 2012
  • The evolution of the IT facilitated the social actions of the consumers by supporting social communication of the online users. At the same time it help for the consumer to post malicious comments on the Internet or to spread the unproven news for distorting the public opinion in the SNSs. Although the number of the consumer unethical behaviors and the estimated damage of the innocent companies have been increased, a few studies had investigate on this issue. Based on the Literature on the consumer unethical behaviors and the institution based trust, we had developed the defense strategies against the consumer unethical behaviors. This study would introduce the new perspective that the consumer could always not be innocent. Also, the defense strategy developed in this study could contribute to make the guideline for consumer service manual.